Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
This map shows the geographic impact of Diego Perino's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Diego Perino with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Diego Perino more than expected).
This network shows the impact of papers produced by Diego Perino. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Diego Perino. The network helps show where Diego Perino may publish in the future.
Co-authorship network of co-authors of Diego Perino
This figure shows the co-authorship network connecting the top 25 collaborators of Diego Perino.
A scholar is included among the top collaborators of Diego Perino based on the total number of
citations received by their joint publications. Widths of edges
represent the number of papers authors have co-authored together.
Node borders
signify the number of papers an author published with Diego Perino. Diego Perino is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Perino, Diego, Kleomenis Katevas, Andra Lutu, Eduard Marin, & Nicolas Kourtellis. (2022). Privacy-preserving AI for future networks. Communications of the ACM. 65(4). 52–53.7 indexed citations
6.
Holz, Ralph, Diego Perino, Matteo Varvello, et al.. (2020). A Retrospective Analysis of User Exposure to (Illicit) Cryptocurrency Mining on the Web. University of Twente Research Information.3 indexed citations
7.
Lutu, Andra, et al.. (2020). Where Things Roam. 147–161.8 indexed citations
Laufer, Rafael, et al.. (2016). CliMB. 50–55.20 indexed citations
13.
Laufer, Rafael, et al.. (2016). CliMB. ACM SIGCOMM Computer Communication Review. 46(4). 17–22.10 indexed citations
14.
Saino, Lorenzo, et al.. (2015). Hierarchical Content Stores in High-speed ICN Routers: Emulation and Prototype Implementation. PORTO Publications Open Repository TOrino (Politecnico di Torino).2 indexed citations
Perino, Diego & Matteo Varvello. (2011). A reality check for content centric networking. 44–49.269 indexed citations breakdown →
17.
Hegde, Nidarsh D., Fabien Mathieu, & Diego Perino. (2010). On Optimizing for Epidemic Live Streaming. HAL (Le Centre pour la Communication Scientifique Directe). 1–5.2 indexed citations
Boufkhad, Yacine, Fabien Mathieu, Fabien de Montgolfier, Diego Perino, & Laurent Viennot. (2008). Achievable catalog size in peer-to-peer video-on-demand systems. HAL (Le Centre pour la Communication Scientifique Directe). 4–4.21 indexed citations
20.
Viennot, Laurent, Michel Habib, Yacine Boufkhad, et al.. (2007). Graphs, networks and algorithms.2 indexed citations
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive
bibliographic database. While OpenAlex provides broad and valuable coverage of the global
research landscape, it—like all bibliographic datasets—has inherent limitations. These include
incomplete records, variations in author disambiguation, differences in journal indexing, and
delays in data updates. As a result, some metrics and network relationships displayed in
Rankless may not fully capture the entirety of a scholar's output or impact.